MCSA与振动分析在轴承故障检测中的比较——一个实例研究

Bram Corne, B. Vervisch, C. Debruyne, J. Knockaert, J. Desmet
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引用次数: 22

摘要

在过去的几十年里,旋转电机的状态监测已经被证明是经济上有益的,特别是在工业生产过程中。振动分析已经成为一种可靠的商业工具,用于进行状态监测或预测性维护。定子电流分析是一项仍在开发中的新技术,可能为预测性维护领域开辟新的前景和机遇。这项技术也被称为电机电流特征分析或MCSA。本文从实际出发,列举并比较了两种技术的优缺点,并辅以案例分析。本案例研究包含了变频器驱动的感应电机轴承故障检测。机器以不同的转矩和速度驱动风扇。
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Comparing MCSA with vibration analysis in order to detect bearing faults — A case study
Condition Monitoring on rotating electrical machines has proven to be economically beneficial in the last decades, especially for industrial production processes. Vibration analysis has already become a reliable and commercial tool to perform condition monitoring or predictive maintenance. Stator current analysis, a newer technology that is still being developed can possibly open new perspectives and opportunities in the world of predictive maintenance. This technology is also known as Motor Current Signature Analysis or MCSA. In this paper the advantages and disadvantages of both technologies are listed and compared from a practical point of view, supplemented with a case study. The case study contains a bearing fault detection in an induction machine driven by a frequency converter. The machine drives a fan with varying torque and speed conditions.
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